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Record W4415395331 · doi:10.1162/imag.a.1001

Cross-modal impact of auditory experience on visual cortical entrainment in children who are hard-of-hearing

2025· article· en· W4415395331 on OpenAlexaff
Elizabeth Heinrichs‐Graham, Z. H. Shen, Wai Hon Lee, Amanda A. Benavente, Jacob A. Eastman, Michaela R. Frenzel, Alex I. Wiesman, Tony W. Wilson, Elizabeth A. Walker, Ryan W. McCreery

Bibliographic record

VenueImaging Neuroscience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsSimon Fraser University
FundersNational Institute of General Medical SciencesNational Institute on Deafness and Other Communication DisordersNational Institutes of Health
KeywordsEntrainment (biomusicology)Sensory systemStimulus (psychology)Stimulus modalityRhythmPerceptionVisual cortexVisual perception

Abstract

fetched live from OpenAlex

Cross-modal neuroplasticity is a well-studied phenomenon whereby in the absence of sensory input (e.g., in individuals who are deaf or blind), the sensory cortices of the affected modality are "taken over" by the unaffected sensory systems. This neuroplasticity is often coupled with changes in the dynamics of the unaffected primary sensory cortices themselves. Nonetheless, whether these cross-modal changes extend to those with mild-to-severe sensory loss where sensory input is degraded but not absent, as is the case for children who are hard-of-hearing (CHH), remains poorly understood. Visual entrainment, sometimes referred to as the visual steady-state response, is the process by which the primary visual cortices entrain to the frequency of a rhythmic exogenous visual stimulus. Importantly, visual entrainment dynamics are thought to serve as an important proxy for how visual stimuli are processed in the brain. The current study sought to identify the impact of mild-to-severe hearing loss and individual differences in auditory experience on visual entrainment dynamics in youth. To this end, CHH and an age- and sex-matched group of children with normal hearing (CNH) were presented with a visual entrainment stimulus that flickered at 15 Hz during magnetoencephalography. Neural responses to the fundamental (15 Hz) and first harmonic (30 Hz) were imaged using beamforming, and the power envelope of the peak responses was extracted as a function of time and submitted to linear mixed effects modeling. We found a significant group-by-time interaction, whereby CHH exhibited a stronger increase in power during entrainment than CNH, suggesting altered entrainment dynamics. We also ran whole-brain correlations between 15 and 30 Hz neural responses and hearing aid use in CHH, controlling for degree of hearing loss. We found a significant negative relationship between hearing aid use and activity in the left primary auditory cortex and left lateral parietal cortex, such that CHH who consistently wore their hearing aids showed the smallest amount of cross-modal neuroplasticity in these regions. Crucially, reductions in cross-modal neuroplasticity in the left lateral parietal cortex were related to better verbal outcomes. These data provide important new information regarding how consistent auditory experience may serve to normalize the neural dynamics serving sensory processing, and how these changes may cascade into improvements in verbal ability in CHH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.397
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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